- Naomi B. Robbins: How to Avoid Some Common Graphical Mistakes
The idea for this session came from a question asked at our last meetup. An audience member asked what is wrong with pie charts. I decided we need a program that is more basic than our usual ones. Although this talk will be elementary, I suspect that most attendees will identify with some of the mistakes shown. Abstract: Good graphs are extremely powerful tools for communicating quantitative information clearly and accurately. Unfortunately, many of the graphs we see today are poor graphs that confuse, mislead or deceive the reader. These poor graphs often occur because the graph designer is not familiar with the principles of effective graphs or because the software used has a poor choice of default settings. We point out some of these graphical mistakes. In most cases, very simple changes make the resulting graphs easier for the reader to understand. In addition, we show some common mistakes with tables. We end with some useful little-known graph forms that communicate the data more clearly than the everyday graphs that are more commonly used. Bio: Naomi is a consultant and seminar leader who specializes in the graphical display of data. She offers keynotes, lunch and learns, short courses and workshops to train employees of corporations and organizations on the effective presentation of data. She also reviews documents and presentations for clients, suggesting improvements or alternative presentations as appropriate. She is the author of "Creating More Effective Graphs." Naomi is a Past-chair of the Statistical Graphics Section of the American Statistical Association and is the organizer of the Data Visualization New York Meetup. Many thanks to Datadog for hosting and sponsoring this event. Upcoming Meetup: Alberto Cairo’s new book “How Charts Lie” will be published in October. He has chosen our meetup for his book launch. Save October 23rd for this event. Strata Data Conference | September 23–26, 2019 | New York At Strata Data Conference, learn how data is driving innovation and transforming business. You’ll see top minds in technology from leading companies like Airbnb, Google, WeWork, and Uber discuss latest developments in machine learning, data engineering, real-time applications, data governance and strategy, and much more. You'll also network with thousands at the largest gathering of technologists and business leaders working with data. Save 20% on most passes with code PCDVZNY. Best Price ends June 28. oreilly.com/pub/cpc/243769 O'Reilly Software Architecture Conference Call for Speakers | February 22–26, 2020 | New York, NY: The O’Reilly Software Architecture Conference is four action-packed days of practical training for veteran and aspiring software architects, engineers, and senior developers. Don’t miss this opportunity to join as a presenter—share your best practices, case studies, or deep technical knowledge, and help make this a must-attend event. AI NEXTCon Developer Conference NYC 2019 : The conference features a blend of hands-on workshops, inspirational keynotes, deep dive tech talks, and networking opportunity with like-minded colleagues. it's 4 days conference with keynotes, 50+ tech speakers/tech talk sessions, 60+ tech talks, and 4 workshop/code labs, which specially geared to developers, data scientists, research scientists to learn/share experience, practices, solutions to solve their engineering problems. http://www.xnextcon.com/ July 23-26, 2019 Best Price (starting at just $329) is available for a limited time. Additional 10% off discount for members, with code: DVNY.
- Maps That Move: Animating Spatial Data
Networking and pizza at 6:30 pm Program at 7:00 pm Abstract: Everything happens at some point in time and space. How can data visualization provide geographic and temporal context to the complex systems and phenomena which shape our world? Data scientist and visualizer Will Geary will explore this question through a series of data animation projects, ranging from mapping urban transportation networks to the global weapons trade. This talk will present lessons learned from a map gone viral, and will introduce the creative and technical process behind animating large datasets using Processing, a graphics library for Java. Bio: Will Geary is a Data Scientist and Head of Data Visualization at CitySwifter, a business intelligence platform for urban bus networks. Previously, Will worked as a geospatial data scientist at the United Nations, and as a transportation researcher at Mapzen. His work has been featured in the Information is Beautiful Awards and the Venice Architecture Biennale, and has received press in The Guardian, CityLab and Le Monde. Will holds an M.S. in Data Science from Columbia University and a B.A. in Philosophy and B.S. in Economics from Duke University. Two volunteers are needed to take attendance and one to videotape the program. Email naomi at nbr-graphs.com if you wish to volunteer (Volunteers get free pizza). ------- Artificial Intelligence Conference | April 15–18, 2019 | New York If you’re looking for an insider's perspective on where AI is going and how you can apply it in your work today, don’t miss the AI Conference in NY. Every year the brightest minds in AI gather to share best practices, hear the most intriguing case studies, and dive deep into the latest technologies that will take their AI into production. The conference often sells-out—register today to save over $800 on most passes with Best Price and our 20% partner discount code PCDVZNY. http://www.oreilly.com/pub/cpc/188319
- The business case for data visualization: Real people + Real data
THE MEETUP WILL START AT 6:30 WITH NETWORKING AND PIZZA. THE PROGRAM WILL START AT 7. Speaker: Dr. Kristen Sosulski Title: The business case for data visualization: Real people + Real data Abstract: How and why do professionals incorporate data visualization into their practice? To answer these questions, Kristen Sosulski engaged professionals in business analytics, human resources, marketing, research, education, politics, gaming, entrepreneurship, and project management to share their practice. Based on her latest book, Data Visualization Made Simple: Insights into Becoming Visual, Kristen will present the business case for data visualization. She will illustrate how people and organizations use data visualization to aid in their decision making, data exploration, data modeling, presentation, and reporting. Specifically, her hope is to motivate the audience to make the visualization of data part of their organization’s practice. Bio: Dr. Kristen Sosulski is an Associate Professor at NYU’s Stern School of Business where she teaches MBA students and executives data visualization, programming and business analytics. She is the Director of the Learning Science Lab for NYU Stern where she develops immersive online learning environments for business school education. As a leading expert on data visualization, Kristen regularly consults, delivers seminars, and leads workshops on data visualization techniques and best practices. You can find her speaking on the subject at events like Social Media Week NYC, plot.ly’s PlotCon conference, and Tableau’s events and to organizations like the National Association of Public Opinion and the National Economic Research Association. Kristen’s passion for technology and learning sciences converges in all facets of her career, inside and outside of the classroom. Follow her on Twitter at @sosulski and learn more at http://kristensosulski.com. Thanks to Stack Overflow for providing space and to Kaiser Fung and Principal Analytics Prep for sponsoring the event. Principal Analytics Prep (https://www.principalanalyticsprep.com/) is the premier data analytics bootcamp founded by industry thought leader and author Kaiser Fung at the Harvard Business School Startup Studio in New York City. Featuring an innovative Three Pillar curriculum taught by leading practitioners with deep industry connections, the intensive program opens the door to new careers in business analytics and data science. ------------------------------------- Give back to our meetup. Following are some ways you can volunteer. • Offer to take attendance at a meetup. • Offer to record a session (the meetup has a camcorder.) • Edit a recording • Sponsor the refreshments at a session • Suggest a venue and help to arrange it. • Suggest speakers. • See if you can figure out how I can use bold and italics in a meetup announcement
- Visualization Landscape and Grammar of Graphics
Speaker 1: Lee Medoff Title: Surveying the Data Visualization Landscape Abstract: What makes the visual representation of data meaningful and appealing? What are some of the current trends in data visualization, including those that have been enabled by technology? And who are the ‘tastemakers’ in the industry? We consider these questions, surveying recent representations of data – examining, recreating and modifying some of the best and worst recent data visualizations. Bio: Lee Medoff is the founder and CEO of Hedgehog Analytics, a data and analytics consulting firm that provides analytics services and solutions. The firm advises tech startups as well. Lee began his career in analytics with Y&R, a New York ad agency, then moved into finance, beginning with the Decision Sciences group of the credit card division of JPMorgan Chase, where he developed models to optimize the return on the bank’s card portfolio. He also worked at the Federal Reserve Bank of New York and Moody’s Analytics, where he oversaw analytics teams in New York and India developing and customizing models for the firm’s software. He holds advanced degrees in Statistics from Columbia University and Economics from New York University. Speaker 2: Ganes Kesari Title: Grammar of Graphics: The Secret Sauce of Powerful Data Stories Abstract: Data Visualization can be a powerful medium to tell stories from data. However, while creating visual representations, people often make the mistake of dipping into a catalog of ready-made charts and preset visual templates. This blunder is the equivalent of writing English prose using a rigid list of sentences, as opposed to the conventional way of stringing together words elegantly, by blending in the grammatical elements. This session will introduce the concept of ‘Grammar of Graphics’ from Leland Wilkinson, and demonstrate the fluid construction of elegant visuals, layer by layer and with practical examples. As a bonus, you’ll learn how to invent your own charts. Bio: Ganes co-founded Gramener, where he heads Analytics and Innovation in Data science. He advises enterprises on deriving value from data science initiatives. He is passionate about the confluence of machine learning, information design and data-driven business leadership. More about his data pursuits can be found at https://gkesari.com. Thanks to Glantus US for organizing most of this event including finding a venue for us. I encourage other members to contribute by organizing a single event. Kristen Sosulski, author of Data Visualization Made Simple, will speak at a meetup on November 26 if I can find a venue. --------------------- Announcements: The organizers of the DataEngConf NYC (See more here: http://bit.ly/NYC-Event), the annual no bullshit data event for deeply technical professionals have offered our members a $160 discount coupon code: “NYCData18” that can be redeemed by following this link: bit.ly/NYC-Tickets18. The conference will take place at Columbia University on November 8 and 9.
- Meet Our Members: Four Short Talks
Here is another opportunity to meet our members and learn what they’re doing. Note the change in starting time: refreshments at 6 pm and program at 6:30. 1. John Rosenfelder Title: Business Intelligence in Music (or "How I Learned to Love Data and Stop Worrying about the Future") John is principal of Earbender Analytics, providing data solutions for music companies. Absract: This talk provides an overview of how data visualization is used to analyze and communicate artist and audience development insights in the streaming music business. 2. Cameron Yick Title: Visualizing, Fast and Slow Cameron is a software engineer, data visualization at Enigma. Abstract: Effective software provides instant feedback. Frustrating software makes you wait. I’ll take you on a tour of tools from the frontend development world that can make building data visualizations fast and enjoyable! 3. Ganes Kesari Title: Conversational AI: Data Story-telling for a Speech-driven World Ganes is the Co-founder and Head of Analytics & Design Innovation at Gramener, a Data science company. Abstract: Data visualization through screen-based interfaces have matured, but their dominance as the primary interface for insights is now being challenged by conversational AI. This talk will provide an overview of this fast-developing trend and lay out the building blocks of designing a conversation-driven, story-telling interface. This concept will be demonstrated with application to a business example using Amazon's Echo. 4. Philipp Kats Title: Vega: Declarative Approach to Visual Storytelling Philipp is a data scientist at StreetEasy. Abstract: Vega is a family of visualization tools anchored around the notion of “visualization grammar” — the idea of separating the mere “logic” (grammar) of a chart from its content and appearance. At StreetEasy, we rely on Vega to help visualize our research projects on our blog. In this presentation, I'll showcase the pros and cons of using Vega’s approach for high-quality, data-driven storytelling and how it can be implemented in organization workflow. Thanks to the New School for hosting us and to O’Reilly for sponsoring the refreshments. O’Reilly will be holding several conferences in New York. JupyterCon | August 21-24, 2018 | New York Want to transform data into a competitive advantage? At JupyterCon, learn how teams of data scientists, business analysts, and researchers use the Notebook and other Jupyter tools to create self-documenting analysis and apps, transform workflows, and build organization-wide collaboration. Discover how to scale analytics to create business value from data and transform your organization at JupyterCon. Presented by Project Jupyter, the NumFOCUS Foundation, and O'Reilly Media. Save 20% on most passes with discount code PCDVZNY. Link: http://www.oreilly.com/pub/cpc/146360 Strata Data Conference | September 11-13, 2018 | New York Strata Data Conference is where cutting-edge science and new business fundamentals intersect—and merge. It's a deep dive into emerging techniques and technologies. You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future. Presented by Cloudera and O'Reilly Media. Save 20% on most passes with code PCDVZNY. Link: http://www.oreilly.com/pub/cpc/157499
- Parsons Festival: Data Visualization Keynotes
The New School - Bob and Sheila Hoerle Lecture Hall, University Center, UL105
Featuring the thesis works of graduating students in the Master of Science in Data Visualization at Parsons School of Design, these talented designers and analysts will deliver keynotes and demonstrate data visualization projects. Topics include: a visual introduction to game theory and social dilemmas, networks of influence in campaign finance, visualizing the #metoo digital movement, the response of the American food supply to nutrition research and dietary trends, the professional identity of math and science teachers, the thin margins of victory in elite sports, product placement in movies, finding similarity in diversity, the relationship between computer-science education and computational trends in Github, the potential for green roofs in NYC, bacteria invasion, patterns of U.S. naval diplomacy from 2012 to 2018, redlining/structural city boundaries, refugee flow, the 1992 Los Angeles riots, and vegetation and socioeconomic shifts in sub-Saharan Africa.
- Rescheduled: Visualizing Data in the Life Sciences
- Financial Data Visualization
There will be two speakers on visualizing financial data. Joanna Kao Abstract: This talk will cover translating complicated graphics from financial reports into stories that can be consumed by anyone, designing for different mediums so content can be delivered straight to where our readers already are and factors to consider when creating accessible graphics. Bio: Joanna S. Kao is a visual journalist at the Financial Times and teaches courses on accessibility and data visualization at the New School. She creates immersive long form story templates, experiments with audio storytelling and explores theater-related data in her spare time. She has a bachelors degree in computer science from the Massachusetts Institute of Technology and enjoys living at the intersection of computer science, design and journalism. Julie Rodriquez Abstract: Data visualizations are often compromised representations that may limit our ability to understand the full story or lead us to shortsighted conclusions. Between multiple screen displays, tables of data, and basic charts that only show a limited perspective of the data, we are left with subpar tools to combine and analyze data. Collectively, we know we need to improve our data experiences, as well as our ability to see the main issues, discover the hidden details, make connections, and compare the top ideas. And increasing amounts of data only heighten the need to do more with the data we have and ensure our decisions are well considered. As a result, we also need better methods to navigate data and extract multiple questions from datasets so that our follow up queries are only a click away. Bio: Julie Rodriguez is vice president of product management and user experience at Eagle Investment Systems. An experience designer focusing on user research, analysis, and design for complex systems, Julie has patented her work in data visualizations for MATLAB and publishes industry articles on user experience and data analysis and visualization. She is the coauthor of Visualizing Financial Data, a book about visualization techniques and design principles that includes over 250 visuals depicting quantitative data. Thanks to Metis for providing space and refreshments for us. The AI Conference will be in New York from April 29 till May 2. At the AI Conference in New York, you'll join the leading minds in AI, Peter Norvig, George Church, Olga Russakovsky, Manuela Veloso, and Zoubin Ghahramani. Explore AI's latest developments, separate what's hype and what's really game-changing, and learn how to apply AI in your organization right now. Save 20% on most passes with discount code PCDVZSF20. Early price ends February 2. http://www.oreilly.com/pub/cpc/115742